847 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" positions in Singapore
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to place greater emphasis on Continuing Education and Training (CET). As both the number and quality of our CET offerings rise, and as we explore ways to create greater opportunities for stackable learning
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of the programme in accordance with the policies of the College and the University. The successful candidate is also expected to teach core, elective and/or studio courses in accordance with the expected teaching
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) Computational thinking and parametric modelling The successful candidate is expected to teach one or more core courses, particularly in areas related to the above themes. The candidate should also be interested
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Excellent written and spoken English Confident stakeholder engagement Digital fluency with Microsoft 365 (Copilot, SharePoint, Power Automate, Teams; strong Excel) Willingness to learn and implement new
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. Candidates are expected to teach undergraduate courses in architectural tectonics, design for manufacturing and assembly, including selection of building materials, pre-fabricated and on-site methods
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anticipates needs and takes initiative. Reliable, discreet, and responsive in supporting both faculty members and leadership. Willing to learn, with openness to acquiring new skills and knowledge as required
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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available in the service labs. Engage in continuous professional development by attending workshops, seminars, webinars, and engaging in self-learning activities to enhance technical skills and knowledge in
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; Track record of publishing in international peer-reviewed journals; Ability to generate and maintain an independent stream of funding; Ability to teach public health courses at both undergraduate and
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the ability to translate data into actionable insights. Collaborative and communicative, comfortable engaging with multiple stakeholders. Adaptable, with a willingness to learn and improve data processes